MAEDAY: MAE for few- and zero-shot AnomalY-Detection

Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes

Abstract: Highlights•Pre-training MAE on an arbitrary set of images and using it for Anomaly-Detection.•Suggesting the new task of Zero-Shot Anomaly-Detection and demonstrating strong results.•Demonstrating strong results for the new task of Zero-Shot Foreign Object Detection.•Releasing a new Foreign Object Detection dataset.